# AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

**Authors:** Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu  
**arXiv:** [2402.03093](https://arxiv.org/abs/2402.03093)  
**Date:** 2024-02-05  
**Summary page:** https://www.summarizepaper.com/en/paper/2402.03093v1/

## Key points

- Virtual Reality (VR) combined with artificial intelligence (AI) offers immersive experiences across various application areas
- AI-enhanced VR applications in medicine are promising and transformative
- Three main categories of AI-enhanced VR systems in medical care: Visualization Enhancement, VR-related Medical Data Processing, and VR-assisted Intervention
- Challenges in creating high-quality 3D models in medical scenarios are addressed using advanced techniques like generative adversarial networks (GANs) and diffusion probabilistic models
- AI-powered VR systems enhance surgical procedures through real-time visualization and simulation
- These systems leverage AI algorithms to analyze complex medical data and provide valuable insights for revolutionizing patient care and treatment outcomes

## Summary

In the rapidly evolving landscape of computer graphics and artificial intelligence technologies, Virtual Reality (VR) has emerged as a powerful tool for transforming how we interact with the world. When combined with artificial intelligence (AI), VR offers users immersive experiences across various application areas. One particularly promising field for AI-enhanced VR applications is medicine. This comprehensive survey delves into the realm of AI-powered VR systems in medical care and services. By meticulously categorizing techniques and applications into three distinct categories - Visualization Enhancement, VR-related Medical Data Processing, and VR-assisted Intervention - this study provides a structured exploration of the diverse roles that AI-enhanced VR plays in medical settings. The survey highlights the challenges faced in creating high-quality 3D models in medical scenarios and discusses innovative solutions such as generative adversarial networks (GANs) and diffusion probabilistic models. These advanced techniques have been instrumental in reconstructing detailed medical images, including PET scans and cardiac volumes. Furthermore, the survey explores how AI-powered VR systems are being utilized to enhance surgical procedures through real-time visualization and simulation. By leveraging AI algorithms to analyze complex medical data and provide valuable insights, these systems have the potential to revolutionize patient care and treatment outcomes. Overall, this groundbreaking survey lays a solid foundation for future research in the interdisciplinary domain of AI-enhanced Virtual Reality in medicine. It offers a framework for understanding the impact of these technologies on healthcare delivery and underscores their potential to drive innovation in medical diagnosis, treatment, and patient care.